Dynamic control design based on limited model information. - Farhad Farokhi; Karl Henrik Johansson (Allerton, 2011)

Control design with limited model information. - Farhad Farokhi; Cédric Langbort; Karl Henrik Johansson (ACC, 2011)

Optimal disturbance accommodation with limited model information. - Farhad Farokhi; Cédric Langbort; Karl Henrik Johansson (ACC, 2012)

Limited model information control design for linear discrete-time systems with stochastic parameters. - Farhad Farokhi; Karl Henrik Johansson (CDC, 2012)

Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliers - Farhad Farokhi; Iman Shames; Karl Henrik Johansson (CoRR, 2012)

Optimal Control Design under Structured Model Information Limitation Using Adaptive Algorithms - Farhad Farokhi; Karl Henrik Johansson (CoRR, 2012)

A heterogeneous routing game. - Farhad Farokhi; Walid Krichene; Alexandre M. Bayen; Karl Henrik Johansson (Allerton, 2013)

Stochastic sensor scheduling with application to networked control. - Farhad Farokhi; Karl Henrik Johansson (ACC, 2013)

Complexity reduction for parameter-dependent linear systems. - Farhad Farokhi; Henrik Sandberg; Karl Henrik Johansson (ACC, 2013)

Optimal H∞ control design under model information limitations and state measurement constraints. - Farhad Farokhi; Henrik Sandberg; Karl Henrik Johansson (CDC, 2013)

A faithful distributed implementation of dual decomposition and average consensus algorithms. - Takashi Tanaka; Farhad Farokhi; Cedric Langbort (CDC, 2013)

A game-theoretic framework for studying truck platooning incentives. - Farhad Farokhi; Karl Henrik Johansson (ITSC, 2013)

Optimal structured static state-feedback control design with limited model information for fully-actuated systems. - Farhad Farokhi; Cédric Langbort; Karl Henrik Johansson (Autom., 2013)

A Necessary and Sufficient Condition for the Existence of Potential Functions for Heterogeneous Routing Games. - Farhad Farokhi; Walid Krichene; Alexandre M. Bayen; Karl Henrik Johansson (CoRR, 2013)

Networked Estimation using Sparsifying Basis Prediction. - Farhad Farokhi; Amirpasha Shirazinia; Karl Henrik Johansson (CoRR, 2013)

Decentralized Disturbance Accommodation with Limited Plant Model Information. - Farhad Farokhi; Cédric Langbort; Karl Henrik Johansson (SIAM J. Control. Optim., 2013)

Gaussian cheap talk game with quadratic cost functions: When herding between strategic senders is a virtue. - Farhad Farokhi; André M. H. Teixeira; Cedric Langbort (ACC, 2014)

Stochastic Sensor Scheduling for Networked Control Systems. - Farhad Farokhi; Karl Henrik Johansson (IEEE Trans. Autom. Control., 2014)

Decentralized Control of Networked Systems: Information Asymmetries and Limitations. - Farhad Farokhi (2014)

Cooperation patterns between fleet owners for transport assignments. - Farhad Farokhi; Kuo-Yun Liang; Karl Henrik Johansson (CCA, 2015)

Distributed negotiation for scheduling smart appliances. - Farhad Farokhi; Michael Cantoni (AuCC, 2015)

Scheduling rigid demands on continuous-time linear shift-invariant systems. - Farhad Farokhi; Michael Cantoni; Iman Shames (CDC, 2015)

Quadratic Gaussian privacy games. - Farhad Farokhi; Henrik Sandberg; Iman Shames; Michael Cantoni (CDC, 2015)

Conditions and strategies for uniqueness of the solutions to cooperative localization and mapping problems using rigidity theory. - Iman Shames; Tyler H. Summers; Farhad Farokhi; Rohan C. Shekhar (CDC, 2015)

SiMpLIfy: A toolbox for structured model reduction. - Martin Biel; Farhad Farokhi; Henrik Sandberg (ECC, 2015)

Using Piecewise-Constant Congestion Taxing Policy in Repeated Routing Games. - Farhad Farokhi; Karl Henrik Johansson (SIAM Conf. on Control and its Applications, 2015)

Mutual Information as Privacy-Loss Measure in Strategic Communication. - Farhad Farokhi; Girish N. Nair (CoRR, 2015)

Promoting Truthful Behaviour in Participatory-Sensing Mechanisms. - Farhad Farokhi; Iman Shames; Michael Cantoni (CoRR, 2015)

Optimal Contract Design for Information Acquisition and Sensing. - Farhad Farokhi; Iman Shames; Michael Cantoni (CoRR, 2015)

Adaptive control design under structured model information limitation: A cost-biased maximum-likelihood approach. - Farhad Farokhi; Karl Henrik Johansson (Syst. Control. Lett., 2015)

Promoting Truthful Behavior in Participatory-Sensing Mechanisms. - Farhad Farokhi; Iman Shames; Michael Cantoni (IEEE Signal Process. Lett., 2015)

Optimal Control Design Under Limited Model Information for Discrete-Time Linear Systems With Stochastically-Varying Parameters. - Farhad Farokhi; Karl Henrik Johansson (IEEE Trans. Autom. Control., 2015)

A Study of Truck Platooning Incentives Using a Congestion Game. - Farhad Farokhi; Karl Henrik Johansson (IEEE Trans. Intell. Transp. Syst., 2015)

A scalable QP solver for optimal control of cascades with constraints. - Michael Cantoni; Farhad Farokhi; Eric C. Kerrigan; Iman Shames (AuCC, 2016)

A game-theoretic approach to distributed scheduling of rigid demands on dynamical systems. - Farhad Farokhi; Michael Cantoni; Iman Shames (AuCC, 2016)

Optimal state estimation with measurements corrupted by Laplace noise. - Farhad Farokhi; Jezdimir Milosevic; Henrik Sandberg (CDC, 2016)

Preserving privacy of agents in participatory-sensing schemes for traffic estimation. - Farhad Farokhi; Iman Shames (CDC, 2016)

Guaranteed maximum power point tracking by scalar iterations with quadratic convergence rate. - Iman Shames; Farhad Farokhi; Michael Cantoni (CDC, 2016)

On reconstructability of quadratic utility functions from the iterations in gradient methods. - Farhad Farokhi; Iman Shames; Michael G. Rabbat; Mikael Johansson 001 (Autom., 2016)

Optimal privacy-preserving policy using constrained additive noise to minimize the fisher information. - Farhad Farokhi; Henrik Sandberg (CDC, 2017)

Scalable computation for optimal control of cascade systems with constraints. - Michael Cantoni; Farhad Farokhi; Eric C. Kerrigan; Iman Shames (CoRR, 2017)

Private and Secure Coordination of Match-Making for Heavy-Duty Vehicle Platooning. - Farhad Farokhi; Iman Shames; Karl Henrik Johansson (CoRR, 2017)

Integration of Information Patterns in the Modeling and Design of Mobility Management Services. - Alexander Keimer; Nicolas Laurent-Brouty; Farhad Farokhi; Hippolyte Signargout; Vladimir Cvetkovic; Alexandre M. Bayen; Karl Henrik Johansson (CoRR, 2017)

Preserving Privacy of Finite Impulse Response Systems. - Giulio Bottegal; Farhad Farokhi; Iman Shames (IEEE Control. Syst. Lett., 2017)

Estimation With Strategic Sensors. - Farhad Farokhi; André M. H. Teixeira; Cedric Langbort (IEEE Trans. Autom. Control., 2017)

Faithful Implementations of Distributed Algorithms and Control Laws. - Takashi Tanaka; Farhad Farokhi; Cedric Langbort (IEEE Trans. Control. Netw. Syst., 2017)

Compressive Sensing in Fault Detection. - Farhad Farokhi; Iman Shames (ACC, 2018)

Security Versus Privacy. - Farhad Farokhi; Peyman Mohajerin Esfahani (CDC, 2018)

Bilateral Trade Under Information Asymmetry and Quantized Measurements. - Farhad Farokhi; Iman Shames (CDC, 2018)

Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption. - Yankai Lin; Farhad Farokhi; Iman Shames; Dragan Nesic (CDC, 2018)

On Privacy of Quantized Sensor Measurements through Additive Noise. - Carlos Murguia; Iman Shames; Farhad Farokhi; Dragan Nesic (CDC, 2018)

Secure and Private Implementation of Dynamic Controllers Using Semi-Homomorphic Encryption. - Carlos Murguia; Farhad Farokhi; Iman Shames (CoRR, 2018)

Towards Encrypted MPC for Linear Constrained Systems. - Moritz Schulze Darup; Adrian Redder; Iman Shames; Farhad Farokhi; Daniel E. Quevedo (IEEE Control. Syst. Lett., 2018)

Information Patterns in the Modeling and Design of Mobility Management Services. - Alexander Keimer; Nicolas Laurent-Brouty; Farhad Farokhi; Hippolyte Signargout; Vladimir Cvetkovic; Alexandre M. Bayen; Karl Henrik Johansson (Proc. IEEE, 2018)

Fisher Information as a Measure of Privacy: Preserving Privacy of Households With Smart Meters Using Batteries. - Farhad Farokhi; Henrik Sandberg (IEEE Trans. Smart Grid, 2018)

Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversaries. - Farhad Farokhi (CDC, 2019)

State Estimation via Worst-Case Erasure and Symmetric Channels with Memory. - Amir Saberi; Farhad Farokhi; Girish N. Nair (ISIT, 2019)

Ensuring privacy with constrained additive noise by minimizing Fisher information. - Farhad Farokhi; Henrik Sandberg (Autom., 2019)

State Estimation over Worst-Case Erasure and Symmetric Channels with Memory. - Amir Saberi; Farhad Farokhi; Girish N. Nair (CoRR, 2019)

Implementing Homomorphic Encryption Based Secure Feedback Control for Physical Systems. - Julian Tran; Farhad Farokhi; Michael Cantoni; Iman Shames (CoRR, 2019)

Non-Stochastic Hypothesis Testing with Application to Privacy Against Hypothesis-Testing Adversary. - Farhad Farokhi (CoRR, 2019)

Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise. - Carlos Murguia; Iman Shames; Farhad Farokhi; Dragan Nesic (CoRR, 2019)

A Game-Theoretic Approach to Adversarial Linear Support Vector Classification. - Farhad Farokhi (CoRR, 2019)

Discounted Differential Privacy: Privacy of Evolving Datasets over an Infinite Horizon. - Farhad Farokhi (CoRR, 2019)

Taking a Lesson from Quantum Particles for Statistical Data Privacy. - Farhad Farokhi (CoRR, 2019)

Differential Privacy for Evolving Almost-Periodic Datasets with Continual Linear Queries: Application to Energy Data Privacy. - Farhad Farokhi (CoRR, 2019)

A Fundamental Bound on Performance of Non-Intrusive Load Monitoring with Application to Smart Meter Privacy. - Farhad Farokhi (CoRR, 2019)

Noiseless Privacy. - Farhad Farokhi (CoRR, 2019)

Optimal Stochastic Evasive Maneuvers Using the Schrödinger's Equation. - Farhad Farokhi; Magnus Egerstedt (IEEE Control. Syst. Lett., 2019)

Development and Analysis of Deterministic Privacy-Preserving Policies Using Non- Stochastic Information Theory. - Farhad Farokhi (IEEE Trans. Inf. Forensics Secur., 2019)

Temporally Discounted Differential Privacy for Evolving Datasets on an Infinite Horizon. - Farhad Farokhi (ICCPS, 2020)

An Explicit Formula for the Zero-Error Feedback Capacity of a Class of Finite-State Additive Noise Channels. - Amir Saberi; Farhad Farokhi; Girish N. Nair (ISIT, 2020)

Measuring Information Leakage in Non-stochastic Brute-Force Guessing. - Farhad Farokhi; Ni Ding (ITW, 2020)

Non-Stochastic Private Function Evaluation. - Farhad Farokhi; Girish N. Nair (ITW, 2020)

The Value of Collaboration in Convex Machine Learning with Differential Privacy. - Nan Wu; Farhad Farokhi; David B. Smith 001; Mohamed Ali Kâafar (SP, 2020)

Modelling and Quantifying Membership Information Leakage in Machine Learning. - Farhad Farokhi; Mohamed Ali Kâafar (CoRR, 2020)

Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance. - Farhad Farokhi (CoRR, 2020)

Data and Model Dependencies of Membership Inference Attack. - Shakila Mahjabin Tonni; Farhad Farokhi; Dinusha Vatsalan; Dali Kaafar (CoRR, 2020)

Predicting Performance of Asynchronous Differentially-Private Learning. - Farhad Farokhi; Mohamed Ali Kâafar (CoRR, 2020)

Bounded State Estimation over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity. - Amir Saberi; Farhad Farokhi; Girish N. Nair (CoRR, 2020)

Online Stochastic Convex Optimization: Wasserstein Distance Variation. - Iman Shames; Farhad Farokhi (CoRR, 2020)

Deconvoluting Kernel Density Estimation and Regression for Locally Differentially Private Data. - Farhad Farokhi (CoRR, 2020)

Private routing and ride-sharing using homomorphic encryption. - Farhad Farokhi; Iman Shames; Karl Henrik Johansson (IET Cyper-Phys. Syst.: Theory & Appl., 2020)

Non-stochastic hypothesis testing for privacy. - Farhad Farokhi (IET Inf. Secur., 2020)

Structured computation of optimal controls for constrained cascade systems. - Michael Cantoni; Farhad Farokhi; Eric C. Kerrigan; Iman Shames (Int. J. Control, 2020)

Optimal contract design for effort-averse sensors. - Farhad Farokhi; Iman Shames; Michael Cantoni (Int. J. Control, 2020)

Privacy-Preserving Constrained Quadratic Optimization With Fisher Information. - Farhad Farokhi (IEEE Signal Process. Lett., 2020)

Secure and Private Implementation of Dynamic Controllers Using Semihomomorphic Encryption. - Carlos Murguia; Farhad Farokhi; Iman Shames (IEEE Trans. Autom. Control., 2020)

Developing Non-Stochastic Privacy-Preserving Policies Using Agglomerative Clustering. - Ni Ding; Farhad Farokhi (IEEE Trans. Inf. Forensics Secur., 2020)

Federated Learning With Differential Privacy: Algorithms and Performance Analysis. - Kang Wei; Jun Li 004; Ming Ding 001; Chuan Ma 001; Howard H. Yang; Farhad Farokhi; Shi Jin 002; Tony Q. S. Quek; H. Vincent Poor (IEEE Trans. Inf. Forensics Secur., 2020)

Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning. - Farhad Farokhi (CDC, 2021)

Using Rényi-divergence and Arimoto-Rényi Information to Quantify Membership Information Leakage. - Farhad Farokhi (CISS, 2021)

A Linear Reduction Method for Local Differential Privacy and Log-lift. - Ni Ding; Yucheng Liu 005; Farhad Farokhi (ISIT, 2021)

Optimal Pre-Processing to Achieve Fairness and Its Relationship with Total Variation Barycenter. - Farhad Farokhi (CoRR, 2021)

Safe Learning of Uncertain Environments for Nonlinear Control-Affine Systems. - Farhad Farokhi; Alex S. Leong; Iman Shames; Mohammad Zamani (CoRR, 2021)

Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants. - Tham Nguyen; Hassan Jameel Asghar; Raghav Bhaskar; Dali Kaafar; Farhad Farokhi (CoRR, 2021)

Zero-Error Feedback Capacity of Finite-State Additive Noise Channels for Stabilization of Linear Systems. - Amir Saberi; Farhad Farokhi; Girish N. Nair (CoRR, 2021)

Toward nonlinear dynamic control over encrypted data for infinite time horizon. - Junsoo Kim 001; Farhad Farokhi; Iman Shames; Hyungbo Shim (CoRR, 2021)

Safe Learning of Linear Time-Invariant Systems. - Farhad Farokhi; Alex S. Leong; Mohammad Zamani; Iman Shames (CoRR, 2021)

A game-theoretic approach to adversarial linear Gaussian classification. - Farhad Farokhi (IFAC J. Syst. Control., 2021)

Feedback control using a strategic sensor. - Farhad Farokhi (Int. J. Control, 2021)

Why Does Regularization Help with Mitigating Poisoning Attacks? - Farhad Farokhi (Neural Process. Lett., 2021)

Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification. - Farhad Farokhi (IEEE Trans. Big Data, 2021)

Rigid-Profile Input Scheduling Under Constrained Dynamics With a Water Network Application. - Adair Lang; Michael Cantoni; Farhad Farokhi; Iman Shames (IEEE Trans. Control. Syst. Technol., 2021)

The Cost of Privacy in Asynchronous Differentially-Private Machine Learning. - Farhad Farokhi; Nan Wu; David B. Smith 001; Mohamed Ali Kâafar (IEEE Trans. Inf. Forensics Secur., 2021)

On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach. - Carlos Murguia; Iman Shames; Farhad Farokhi; Dragan Nesic; H. Vincent Poor (IEEE Trans. Inf. Forensics Secur., 2021)

When Machine Learning Meets Privacy: A Survey and Outlook. - Bo Liu 001; Ming Ding 001; Sina Shaham; Wenny Rahayu; Farhad Farokhi; Zihuai Lin (ACM Comput. Surv., 2022)

Distributionally-robust machine learning using locally differentially-private data. - Farhad Farokhi (Optim. Lett., 2022)

Bounded Estimation Over Finite-State Channels: Relating Topological Entropy and Zero-Error Capacity. - Amir Saberi; Farhad Farokhi; Girish N. Nair (IEEE Trans. Autom. Control., 2022)

Structured Preconditioning of Conjugate Gradients for Path-Graph Network Optimal Control Problems. - Armaghan Zafar; Michael Cantoni; Farhad Farokhi (IEEE Trans. Autom. Control., 2022)

Zero-Error Feedback Capacity for Bounded Stabilization and Finite-State Additive Noise Channels. - Amir Saberi; Farhad Farokhi; Girish N. Nair (IEEE Trans. Inf. Theory, 2022)

Do Auto-Regressive Models Protect Privacy? Inferring Fine-Grained Energy Consumption From Aggregated Model Parameters. - Nazim Uddin Sheikh; Hassan Jameel Asghar; Farhad Farokhi; Mohamed Ali Kâafar (IEEE Trans. Serv. Comput., 2022)

A Computationally-Friendly Data-Driven Safety Filter for Control-Affine Discrete-Time Systems Subject to Unknown Process Noise. - Farhad Farokhi; Alex S. Leong; Iman Shames; Mohammad Zamani (ACC, 2023)

Information Leakage from Data Updates in Machine Learning Models. - Tian Hui; Farhad Farokhi; Olga Ohrimenko (AISec@CCS, 2023)

Quantum Privacy and Hypothesis-Testing. - Farhad Farokhi (CDC, 2023)

Privacy Against Hypothesis-Testing Adversaries for Quantum Computing. - Farhad Farokhi (CoRR, 2023)

Maximal Quantum Information Leakage. - Farhad Farokhi (CoRR, 2023)

Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning. - Yuen-Man Pun; Farhad Farokhi; Iman Shames (CoRR, 2023)

Distributionally Robust Optimization With Noisy Data for Discrete Uncertainties Using Total Variation Distance. - Farhad Farokhi (IEEE Control. Syst. Lett., 2023)

Learning Safety Filters for Unknown Discrete-Time Linear Systems. - Farhad Farokhi; Alex S. Leong; Mohammad Zamani; Iman Shames (IEEE Control. Syst. Lett., 2023)

Noiseless Privacy: Definition, Guarantees, and Applications. - Farhad Farokhi (IEEE Trans. Big Data, 2023)

Uniformly Bounded State Estimation Over Multiple Access Channels. - Ghassen Zafzouf; Girish N. Nair; Farhad Farokhi (IEEE Trans. Autom. Control., 2023)

Measuring Quantum Information Leakage Under Detection Threat. - Farhad Farokhi; Sejeong Kim (CDC, 2024)

Certified Adversarial Robustness via Randomized α-Smoothing for Regression Models. - Aref Miri Rekavandi; Farhad Farokhi; Olga Ohrimenko; Benjamin I. P. Rubinstein (NeurIPS, 2024)

Barycentric and Pairwise Renyi Quantum Leakage. - Farhad Farokhi (CoRR, 2024)

Optimal Universal Quantum Encoding for Statistical Inference. - Farhad Farokhi (CoRR, 2024)

Sample Complexity Bounds for Scalar Parameter Estimation Under Quantum Differential Privacy. - Farhad Farokhi (IEEE Control. Syst. Lett., 2025)

Tight Sample Complexity Bounds for Parameter Estimation Under Quantum Differential Privacy for Qubits. - Farhad Farokhi (CoRR, 2025)

A DPI-PAC-Bayesian Framework for Generalization Bounds. - Muhan Guan; Farhad Farokhi; Jingge Zhu (CoRR, 2025)